


Find out what your peers are saying about Collibra, Microsoft, Informatica and others in Data Governance.
We have seen a return on investment, having saved close to 10.5% of our costs, with expected ROI growing yearly by about 17%.
Instead of going into Google or consulting a colleague, I can just go to Alation Data Catalog, search there, and understand everything by myself.
When considering the time and effort required to build a catalog and utilize it effectively, combined with the prices, it often does not make financial sense.
A lot of time gets saved in data search, data discovery, and data analysis, which translates into a good return on investment.
Implementing Collibra Data Catalog can be cost-effective if its features align well with the business requirements.
Leadership prefers to utilize third-party tools, such as Snowflake, which has both storage and ELT features.
The stability and performance remain issues.
Compared to Collibra Catalog, where the value is noticeable within six months.
Some of them have dragged on for six months, which is much longer than we would ever want some support issues to go on.
we have defined several SLAs that have resolved critical issues and incidents with excellent support.
we have been able to contact them, and they have been able to help us whenever we have had issues
There were weekly sessions with them that covered the loads and highlighted when it exceeded a threshold.
They provide quick and high-quality responses.
When using the Collibra Resident Architect program, the customer service was excellent, with issues quickly resolved.
Due to the tool's maturity limitations, solutions are not always simple and often require workarounds.
Even after going out of service support, they still reached back to me whenever I raised tickets.
We expect more responsive assistance because they have the expertise since Informatica is their tool, but I don't see enough expertise on the Informatica support side.
As data sizes grow, we can also scale categorizations, calibrations, and the types of data we ingest and catalog through this tool.
Alation Data Catalog's scalability is really good since everything is cloud and everything gets pulled into the system via Snowflake and DBT automatically.
Alation Data Catalog's scalability has met our needs as our data and user base has grown.
We were a big bank and had thousands of assets without any issues.
Our organization has more than 10,000 employees without any glitch, without any hang, and without any slowness.
It can handle growth in users, assets, metadata, and integrations, but it requires good governance and administration.
I have used the product over multiple systems and was able to write reports for large data sets without any performance issues.
As a SaaS platform, IDMC is quite scalable and provides complete flexibility.
There are many options available, and the licensing model is quite good, supporting our needs effectively.
It has never gone down when we wanted to access it.
Alation Data Catalog has been stable for me, as I haven't seen much downtime.
From my experience, Alation Data Catalog is stable.
The performance and reliability of Collibra Platform is excellent since we use the SaaS cloud offering.
It does not lag, and it can handle large volumes of data in less time.
Collibra Platform is stable.
Stability is crucial because IDMC holds business-critical data, and it needs to be available all the time for business users.
There are substantial stability issues with Informatica Cloud Data Quality on the cloud.
I find the stability to be good, with occasional restarts required every two to three months due to glitches.
The platform needs improvement in integrating with BI tools, reducing manual efforts, and facilitating a smooth connection.
Additionally, bringing in AI capabilities to automate tracking and labeling can optimize how we handle data information levels.
Alation Data Catalog can be improved by enhancing their lineage capabilities to make it easier for us as users to search the lineage without having to use the Alation Data Catalog user interface.
Users often find it challenging to utilize data governance tools, with ease of use ranked as an important criterion by 2028 standards.
Integration with tools such as Power BI, Tableau, or notebooks would be great for handling large data processing.
Leveraging AI could simplify the process by automatically listing assets for movement, requiring only a couple of clicks, providing a win for administration purposes.
I feel whatever the tool does not have now, there is a feedback loop allowing us to request new features, and we continually ask for different ways to do things as we have a pipeline into the product management team.
The tool needs to mature in terms of category-specific attributes or dynamic attributes.
The current solution requires code-writing and tweaking, while other solutions offer material-level matches.
Collibra is a little bit expensive than Alation, but I presented the benefits of having that platform, so that little bit of money was not a big deal.
Discussions with the vendor partners provided a detailed breakdown of costs and how they can be reduced over time.
Collibra has high initial costs for licensing that can be a barrier to small and medium-sized companies starting with it.
There are plans to increase license rates.
Adding modules like Privacy could become expensive.
It ranges from a quarter million to a couple of million a year.
Informatica Intelligent Cloud Services is affordable for my specific use cases, with the pricing being rated three or four on a scale where one is very cheap.
Regarding pricing, compared to other tools I have worked with, Informatica offers competitive pricing, which I find not high in terms of starting strategy.
It was the only data catalog tool where I could save and even create SQL queries.
Importantly, we establish a single source of truth, centralizing metadata and standardizing definitions, which minimizes confusion and helps with consistent data use across the organization.
My stakeholders can find relevant data assets quickly using a Google search without needing technical jargon, reducing the time spent searching for data.
My experience with Collibra's collaboration tools in improving data literacy has been quite good. I think it is one of the best for helping people understand and discuss certain data sets and manage workflows.
We have saved up to 30% of manual work as a specific process or workflow became faster.
Another important feature is the data lineage, which helps in impact assessment before making any changes, showing where a particular field is being used in a report, data quality report, or normal report.
The platform's ability to pull in data from other platforms without the need for an additional integration tool enhances its appeal.
The connectors serve as the main functionality, making data integration processes more efficient by saving time and effort.
We could run data quality rules as part of Service Bus, which ensured the integrity of customer information before it was entered into our database.
| Product | Mindshare (%) |
|---|---|
| Collibra Platform | 7.6% |
| Informatica Intelligent Data Management Cloud (IDMC) | 5.0% |
| Alation Data Catalog | 3.4% |
| Other | 84.0% |
| Company Size | Count |
|---|---|
| Small Business | 4 |
| Midsize Enterprise | 2 |
| Large Enterprise | 15 |
| Company Size | Count |
|---|---|
| Small Business | 24 |
| Midsize Enterprise | 14 |
| Large Enterprise | 61 |
| Company Size | Count |
|---|---|
| Small Business | 51 |
| Midsize Enterprise | 27 |
| Large Enterprise | 155 |
Alation Data Catalog offers dynamic cloud integration and robust data stewardship, aiding organizations in managing metadata and ensuring efficient data governance. Its active governance model enhances collaboration and productivity through seamless API integration.
Alation Data Catalog empowers organizations by providing tools like seamless cloud integration, automatic data crawling, and a business glossary to strengthen data management. It supports enhanced data discoverability, decision-making, and regulatory compliance. The catalog caters to diverse data sources, providing clear data lineage, aiding non-technical users, and supporting BI tools like Power BI. Its SQL query publication tool and API integration enhance productivity, while features like metadata management boost data quality and governance.
What are the main features of Alation Data Catalog?In industries like finance and healthcare, Alation Data Catalog is a key resource for data governance and metadata management. Organizations utilize it to integrate diverse data sources, establish data lineage, and manage business domains, proving invaluable in platforms such as Power BI and Snowflake.
Collibra Platform is preferred for workflows, data lineage, and a user-friendly interface. It enhances metadata management with robust collaboration, flexible customization, and powerful reporting, aiding organizations in effective data management.
Collibra Platform provides dependable solutions for metadata management, data lineage, and governance. It strengthens data governance with cataloging, glossaries, automation, and integration, supporting compliance and data quality management. Despite challenges with integration and metadata ingestion, the platform is vital for data governance programs, offering comprehensive AI capabilities and streamlined processes for enterprise data management.
What are Collibra Platform's key features?
What benefits should be sought in reviews?
In industries, Collibra Platform supports IT teams through metadata management and data quality assurance. It is widely used for compliance initiatives like GDPR, speeding up digital transformation and enforcing policy management. Organizations employ it to consolidate business and technical metadata, ensuring effective enterprise-scale data management in diverse sectors.
Informatica Intelligent Data Management Cloud (IDMC) offers seamless integration of master data management, data quality, and data integration with a cloud-native architecture supporting multiple data management styles, optimizing data governance through metadata management.
IDMC enhances data synchronization and mapping tasks, utilizing a broad range of connectors to interact efficiently with data sources. Its precise address validation via AddressDoctor and intuitive navigation bolster user empowerment, delivering agility, scalability, and security in data governance. Despite its strengths, areas like ease of use, SAP integration, and reporting could benefit from enhancements. Connectivity issues and workflow complexities are noted, needing improvements in performance, support, and licensing cost. Users demand expanded ETL capabilities, real-time processing, and broader data source support to address growing data needs.
What are the key features of IDMC?In industries such as banking, healthcare, and telecom, IDMC is implemented for data integration, cloud migration, and enhancing data quality. Its capabilities are crucial for metadata management, lineage tracking, and real-time processing, ensuring high data quality and streamlined operations.